6 дней назад
Principal Cloud Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Cloud Architect (AI): Defining and delivering cloud, infrastructure, data, and AI platform architectures across AWS, Azure, Kubernetes, and infrastructure-as-code with an accent on security, governance, and operational cost control. Focus on moving GenAI and agentic workloads into production, designing governed data platforms, shaping ambiguous client engagements, and establishing reusable architecture standards.
Location: USA; remote
Company
is an AI-native consulting and technology services firm delivering cloud, data, software engineering, and artificial intelligence solutions for enterprise clients.
What you will do
- Define reference architectures, cloud landing zones, and technical standards across AWS, Azure, Kubernetes, and infrastructure-as-code.
- Design governed lakehouse, warehouse, streaming, data quality, and data platform architectures.
- Build platform patterns for moving GenAI and agentic workloads from prototype to production, including access control, evaluation, observability, and cost guardrails.
- Lead technical discovery, solution shaping, estimation, risk reduction, and technical scope definition for client engagements.
- Own security, compliance, reliability, observability, operating cost, and rollback considerations in architecture designs.
- Run design reviews, mentor architects and senior engineers, and develop reusable accelerators and AI-assisted delivery practices.
Requirements
- 12+ years of experience in infrastructure, cloud, or data engineering, including several years as the accountable architect for production systems at scale.
- Deep hands-on experience with AWS and/or Azure, production Kubernetes, and Terraform or an equivalent infrastructure-as-code tool.
- Experience designing and shipping modern data platforms such as Databricks, Snowflake, Fabric, or Redshift, including governance and data quality.
- Strong security architecture experience covering IAM, zero-trust networking, encryption, audit readiness, network segmentation, secrets management, and logging.
- Experience putting GenAI or LLM systems into production, including RAG, evaluation, guardrails, or agent orchestration.
- Ability to work under ambiguity, explain technical trade-offs to executives, and collaborate directly with engineers on implementation.
Nice to have
- Multi-cloud or hybrid experience at enterprise scale.
- Experience in regulated industries such as financial services, healthcare, or the public sector.
- AWS Solutions Architect Professional, Azure Solutions Architect Expert, or CKA certification.
- Experience building an architecture practice or center of excellence from an early stage.
Culture & Benefits
- Work on AI-driven projects spanning startup innovation and enterprise transformation.
- Collaborate with a global team across continents and cultures.
- Inclusive environment focused on continuous learning, innovation, and ethical AI standards.
- AI-first working approach with emphasis on responsible use of AI in client and production environments.
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